Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Scalable and Secure AI Inference in Healthcare: A Comparative Benchmarking of FastAPI and Triton Inference Server on Kubernetes
arXiv:2602.00053v1 Announce Type: new Abstract: Efficient and scalable deployment of machine learning (ML) models is a prerequisite for modern production…
TEON: Tensorized Orthonormalization Beyond Layer-Wise Muon for Large Language Model Pre-Training
arXiv:2601.23261v2 Announce Type: replace-cross Abstract: The Muon optimizer has demonstrated strong empirical performance in pre-training large language models by performing…
DREAMS: A Social Exchange Theory-Informed Modeling of Misinformation Engagement on Social Media
arXiv:2602.01567v1 Announce Type: cross Abstract: Social media engagement prediction is a central challenge in computational social science, particularly for understanding…
Multimodal UNcommonsense: From Odd to Ordinary and Ordinary to Odd
arXiv:2602.01561v1 Announce Type: cross Abstract: Commonsense reasoning in multimodal contexts remains a foundational challenge in artificial intelligence. We introduce Multimodal…
Avoiding Premature Collapse: Adaptive Annealing for Entropy-Regularized Structural Inference
arXiv:2601.23039v2 Announce Type: replace-cross Abstract: Differentiable matching layers, often implemented via entropy-regularized Optimal Transport, serve as a critical approximate inference…
JAF: Judge Agent Forest
arXiv:2601.22269v1 Announce Type: new Abstract: Judge agents are fundamental to agentic AI frameworks: they provide automated evaluation, and enable iterative…
Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding
arXiv:2601.21969v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) often hallucinate, generating content inconsistent with the input. Retrieval-Augmented Generation (RAG)…
On the Impact of Code Comments for Automated Bug-Fixing: An Empirical Study
arXiv:2601.23059v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly relevant in Software Engineering research and practice, with Automated…
Adaptive Edge Learning for Density-Aware Graph Generation
arXiv:2601.23052v1 Announce Type: cross Abstract: Generating realistic graph-structured data is challenging due to discrete structures, variable sizes, and class-specific connectivity…
Effective LoRA Adapter Routing using Task Representations
arXiv:2601.21795v2 Announce Type: replace-cross Abstract: Low-rank adaptation (LoRA) enables parameter efficient specialization of large language models (LLMs) through modular adapters,…